neo-ai / tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Summary
             |
|||
| Main Code: 282,202 LOC (1952 files) = CC (38%) + PY (37%) + H (15%) + RS (2%) + C (1%) + CMAKE (<1%) + JAVA (<1%) + TS (<1%) + GO (<1%) + MM (<1%) + PXI (<1%) + TOML (<1%) + CU (<1%) + YAML (<1%) + JS (<1%) + HTML (<1%) + M (<1%) + IN (<1%) + PYX (<1%) Secondary code: Test: 120,877 LOC (653); Generated: 0 LOC (0); Build & Deploy: 2,046 LOC (100); Other: 7,151 LOC (100); |
|||
| File Size: 13% long (>1000 LOC), 35% short (<= 200 LOC) | |||
| Unit Size: 9% long (>100 LOC), 45% short (<= 10 LOC) | |||
| Conditional Complexity: 5% complex (McCabe index > 50), 55% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (15 components) | ||
|
|
5 years, 7 months old
|
||
|
|
10% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
51 files |
|||
Latest commit date: 2022-01-10
|
1
commits
(30 days)
1
contributors
(30 days) |
|